{"repo":"tslearn-team/tslearn","free":true,"listed":false,"github":"https://github.com/tslearn-team/tslearn","clone":"git clone https://github.com/tslearn-team/tslearn.git","description":"The machine learning toolkit for time series analysis in Python","language":"Python","stars":3170,"topics":["time-series","timeseries","time-series-analysis","time-series-clustering","machine-learning","machine-learning-algorithms","machinelearning","dtw","python","time-series-classification"],"license":"BSD-2-Clause","category":"machine-learning","readme_excerpt":"The machine learning toolkit for time series analysis in Python Section Description - - Installation Installing the dependencies and tslearn Getting started A quick introduction on how to use tslearn Available features An extensive overview of tslearn's functionalities Documentation A link to our API reference and a gallery of examples Contributing A guide for heroes willing to contribute Citation A citation for tslearn for scholarly articles Installation There are different alternatives to install tslearn: PyPi: python -m pip install tslearn Conda: conda install -c conda-forge tslearn Git: python -m pip install https://github.com/tslearn-team/tslearn/archive/main.zip In order for the installation to be successful, the required dependencies must be installed. For a more detailed guide on how to install tslearn, please see the Documentation. Getting started 1. Getting the data in the right format tslearn expects a time series dataset to be formatted as a 3D numpy array. The three dimensions correspond to the number of time series, the number of measurements per time series and the number of dimensions respectively ( n ts, max sz, d ). In order to get the data in the right format, different solutions exist: You can use the utility functions such as to time series dataset . You can convert from other popular time series toolkits in Python. You can load any of the UCR datasets in the required format. You can generate synthetic data using the generators module. It should further b","default_branch":null,"files":null,"tree":[],"storefront":"/r/tslearn-team","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/tslearn-team/tslearn/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}